Systematic Decision-Making Process for Composite Pavement Maintenance

Yoon, Soojin; Kang, Kyubyung; Yoon, Yoojung; Hastak, Makarand; Ji, Richard

doi:10.1061/(asce)co.1943-7862.0001447

Cited by 8 publications

(6 citation statements)

References 15 publications

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“…For example, Ouyang employed a nonlinear programming model setting the minimum sum of maintenance costs and user costs as the objective function to obtain the optimal pavement resurfacing plan [12]. As well as the objective function developed by Ouyang, maximum pavement performance [13], minimum International Roughness Index (IRI) [14], minimum pavement salvage values [15], minimum greenhouse gas emissions [16], and maximum user benefits [17] were also considered as objective functions in existing literature, which makes the decision problem capable of being solved by multi-objective optimal models [17]. The above optimal approaches are applicable to the single-stage decision problem but have limitations in solving multi-stage decision problems.…”

Section: Literature Reviewmentioning

confidence: 99%

Incorporating Dynamic Traffic Distribution into Pavement Maintenance Optimization Model

2019

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An optimal pavement maintenance strategy can keep the pavement performance at a high level under budget constraint. However, the impact of changes in traffic distribution caused by maintenance actions on user costs is rarely investigated in existing approaches. This research aims to solve the optimization of pavement maintenance strategy using a multi-stage dynamic programming model combined with the stochastic user equilibrium model, which can simulate the dynamic traffic distribution in the life cycle. To deal with the proposed model, a heuristic iterative algorithm is put forward. Ultimately, a hypothetical network is established to test the model and algorithm. The testing results prove that the proposed framework has an advantage in assessing user costs comprehensively and can provide an effective and optimal pavement maintenance strategy in a 30-year life cycle, which improves the efficiency of budget and pavement conditions. Additionally, this research provides quantitative evidence of interdependency in a road network, i.e., pavement maintenance actions on links can interfere with the user costs and traffic flow distribution in the whole network, which should be taken into account in pavement maintenance decision-making.

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Section: Literature Reviewmentioning

confidence: 99%

Incorporating Dynamic Traffic Distribution into Pavement Maintenance Optimization Model

2019

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“…With the objective of minimizing the total maintenance cost while meeting the demand of pavement performance threshold, the mixed-integer programming model was also developed [15]. Yoon et al [16] proposed a decision-making process to select appropriate maintenance treatments for reflective cracking in composite pavements. Selecting the optimal maintenance method and the optimal time is actually a multi-objective optimization problem, which aims to acquire the greatest improvement in pavement condition using as few maintenance funds as possible [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Preventive Maintenance Decision-Making Optimization Method for Airport Runway Composite Pavements

Ling,

Wang,

Liu

et al. 2024

Applied Sciences

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Long-term preventive maintenance planning using finite annual budgets is vital for maintaining the service performance of airport runway composite pavements. Using the pavement condition index (PCI) to quantify composite pavement performance, this study investigated the PCI deterioration tendencies of middle runways, terminal runways, and taxiways and developed prediction models related to structural thickness and air traffic. Performance jump (PJ) and deterioration rate reduction (DRR) were used to measure maintenance benefits. Based on 112 composite pavement sections in the Long-term Pavement Performance Program, this study analyzed the influences of five typical preventive maintenance technologies on PJ, DRR, and PCI deterioration rates. The logarithmic regression relationship between PJ and PCI was obtained. For sections treated with crack sealing and crack filling, the DRR was nearly 0. For sections treated with fog seal, thin HMA overlay, and hot-mix recycled AC, the DRR was 0.2, 0.7, and 0.8, respectively. To solve the multi-objective maintenance problem, this study proposed a decision-making optimization method based on dynamic programming, and the solution algorithm was optimized, which was applied in a five-year maintenance plan. Considering different PCI deterioration tendencies of airport regions, as well as PJ, DRR, and costs of maintenance technologies, the preventive maintenance decision-making optimization method meets performance and financial requirements sufficiently.

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“…Pantuso et al [13] introduced an approach to analyze the time sequence of maintenance treatments using the survey data of the falling weight deflectometer (FWD). e purpose of pavement management is to provide a reliable pavement condition evaluation model to realize the optimization process of pavement life and resource allocation [14]. At present, many researches have adopted a simple method to predict the damage condition of pavement performance through the preset classification and weight of each evaluation index [15,16].…”

Section: Introductionmentioning

confidence: 99%

Contribution Modeling on Condition Evaluation of Asphalt Pavement Using Uncertainty Measurement and Entropy Theory

Wei

Yao

et al. 2021

Advances in Materials Science and Engineering

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In view of the deficiency that traditional pavement performance evaluation index did not consider the influence of their difference on weight, the grade of the evaluation index also did not take into account intermediate state and the impact of uncertainty on the evaluation results, a determination method of pavement performance evaluation index weight based on entropy theory was developed. The unascertained measurement function of evaluation index was performed by left-half ladder distribution, and unascertained measurement matrix was obtained. The index weight was calculated by minimum entropy theory, and the practicability of this method was verified through a concrete example finally. The results show that there were different weights in different samples, which depended on index measurement function and were the overall characterization of comprehensive measurement of every index. The method which is based on the given weighting factor did not conform to the engineering facts. It was difficult to identify the importance of the pavement performance evaluation index in different samples. The balance of the various indexes is better to be considered in the proposed method, and the comprehensive situation of pavement performance is really reflected, which improves the evaluation of the reliability.

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Systematic Decision-Making Process for Composite Pavement Maintenance

Cited by 8 publications

References 15 publications

Incorporating Dynamic Traffic Distribution into Pavement Maintenance Optimization Model

Incorporating Dynamic Traffic Distribution into Pavement Maintenance Optimization Model

Preventive Maintenance Decision-Making Optimization Method for Airport Runway Composite Pavements

Contribution Modeling on Condition Evaluation of Asphalt Pavement Using Uncertainty Measurement and Entropy Theory

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